National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Global Data Scientist Manager

Boston Consulting Group
London
3 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Manager

Data Science Analyst

Senior Data Scientist - Forecasting

Data Scientist

Senior Data Scientist

Data Science Manager

Who We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.What You'll DoBCG is on a transformative journey, leveraging cutting-edge Generative AI technologies to enhance internal operations. As a Data Scientist, you will design, develop, deploy, and optimize scalable Gen AI products while maintaining and expanding your expertise. You will take technical ownership of BCG’s global Staffing applications, ensuring their performance, stability, and alignment with strategic roadmaps. Collaborating with cross-functional teams, you will drive high-quality development, document designs, and share insights across Chapters. Your role includes hands-on development, technical guidance, and ensuring operational excellence for our Staffing application.

*KEY RESPONSIBILITIES*

  • Execution & Team Collaboration:*
  • Work as hands on contributor (IC) on the project to develop data science & Gen AI modules collaborating along with broader team builder engineering & business teams
  • Foster a culture of collaboration, innovation, and continuous learning within the team
  • Act as a key liaison between team members, chapter leads, and stakeholders to ensure seamless communication and project alignment
  • Advanced AI, Machine Learning & Generative AI:*
  • Design and implement cutting-edge AI as well as Generative AI models for diverse business applications
  • Apply reinforcement learning techniques to solve complex decision-making problems
  • Drive adoption of machine learning and AI best practices across the organization
  • Apply LLM models & frameworks to build Gen AI powered features in digital solution
  • Optimization & Analytics:*
  • Develop and deploy linear and non-linear optimization algorithms to improve operational performance
  • Conduct advanced data analytics to derive actionable insights for strategic decision-making
  • Data Engineering & MLOps:*
  • Deploy scalable data pipelines using Airflow and Snowflake
  • Implement MLOps frameworks for efficient development, deployment, and monitoring of AI/ML models
  • Cloud & Infrastructure:*
  • Utilize cloud platforms such as AWS, Azure, or GCP to deploy scalable and reliable AI/ML solutions
  • Optimize data storage and processing workflows on Snowflake and other databases
  • Stakeholder Management:*
  • Collaborate with stakeholders, chapter lead and product owner to define project objectives, requirements, and success metrics
  • Present technical insights and strategic recommendations to non-technical stakeholders in

a clear and impactful manner

  • Coordinated & Communication Management:*
  • Plan and execute releases, making sure all deployment and rollback steps are documented & tested, and plans are coordinated & communicated appropriately.

What You'll Bring7+ years of experience in data Science/AI engineering roles to lead and execute advanced AI and optimization projects. You will have a deep understanding of Generative AI, machine learning, and cloud platforms, along with extensive experience in stakeholder management and strategic collaboration.

  • Experience/Knowledge*
  • 5+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions across wide variety of problems
  • 5+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions across wide variety of problems
  • Minimum 1+ years of experience in building Generative AI solutions (e.g. RAG, Agents)
  • Strong proficiency in Python and AI/ML frameworks
  • Expertise in Generative AI, reinforcement learning, and optimization techniques
  • Proficiency in MLOps and cloud platforms (AWS, Azure, GCP)
  • Hands-on experience with tools like Airflow, Snowflake, and data orchestration systems
  • Proven track record of working in data science teams and managing large functional projects
  • Excellent communication skills and ability to align technical work with business priorities
  • Exceptional problem-solving and analytical capabilities
  • Ability to translate complex data challenges into business solutions

Who You'll Work WithAs a data scientist in the Staffing team, you will collaborate closely with the Chapter Lead, Product Owner, and stakeholders to deliver high-quality, impactful solutions. Portfolio Leaders, Technical Area Lead, Product Owners and other Chapter Leads with whom you shall work to manager chapter resources and ensure a positive collaboration. Agile Coaches and Scrum Masters, that will ensure that you adopt agile principles, mindset and ways of working into your daily routine and who will coach you during the transformation.Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.BCG is an E - Verify Employer. (Click here )( for more information on E-Verify.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.